Data Engineer – Process Mining
Are you passionate about building robust data pipelines and uncovering deep insights through process mining? Do you thrive in cross-functional environments where data meets infrastructure, and insights drive impact?
You and your job
We need your help to design, build, and run scalable data solutions that power our process mining capabilities. As a Data Engineer in our Process Mining team, you’ll be part of a multi-disciplinary group responsible for turning raw data into actionable insights using cutting-edge tools like Celonis and Databricks. You’ll work closely with infrastructure teams, stakeholders, and security experts to ensure our solutions are production-ready, secure, and impactful.

Practical examples

• Build and maintain data pipelines that connect diverse data sources across the organization
• Collaborate with infrastructure teams to deploy data pipelines into production environments
• Develop scalable data workflows in Databricks using Python
• Apply process mining techniques to analyze business processes and generate insights using Celonis
• Partner with stakeholders to understand their challenges and guide them toward data-driven solutions
• Follow best practices in Azure data engineering to ensure reliability, performance, and maintainability
• Support security and risk assessments to ensure compliance and operational integrity

Your profile

• Strong experience in Python and Databricks for data engineering
• Familiarity with process mining concepts and tools like Celonis
• Solid understanding of Azure data services and engineering best practices
• Excellent communication skills and stakeholder management
• Experience working in cross-functional teams and navigating complex data ecosystems
• A proactive mindset with a focus on problem-solving and continuous improvement

Tech Stack Overview
Data Engineering Databricks, Apache Spark, Delta Lake
Python, SQL
Cloud Platform Azure (Data Factory, Key Vault)
Process Mining Celonis
DevOps & Infra CI/CD, Azure DevOps, Git

Please refer the Job description for details